Hecatoncheir: The Data Stewardship Studio
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README.md

Hecatoncheir: The Data Stewardship Studio

About Hecatoncheir

Hecatoncheir is software that helps data stewards to ensure data quality management and data governance with using database metadata, statistics and data profiles.

Key Features

Hecatoncheir allows you to:

  • Collect metadata from database dictionaries/catalogs
  • Profile database tables and columns
  • Validate data with several business rules
  • Catalog data sets by tagging and importing additional metadata
  • Build a business glossary
  • Curate everything which needs to be shared with data developers and users

Screenshots

Data Catalog Top Page

Data Catalog

Metadata and Statistics

Metadata and Statistics

Data Validation

Data Validation (1)

Data Validation (2)

Business Glossary

Business Glossary

Requirements

Target databases

The latest version supports following databases:

  • Oracle Database / Oracle Exadata
  • SQL Server
  • PostgreSQL
  • MySQL
  • Amazon Redshift
  • Google BigQuery

Following databases are coming in the future releases:

  • DB2
  • DB2 PureScale (Neteeza)
  • Apache Hive
  • Apache Spark
  • Vertica

Operating Systems

Hecatoncheir can work on following operating systems.

  • Red Hat Enterprise Linux 6 (x86_64)
  • Red Hat Enterprise Linux 7 (x86_64)
  • Windows 7 (64bit / 32bit)

Python

Hecatoncheir requires python 2.7.

Also you need to have one or more database drivers for the databases you want to connect to:

  • cx-Oracle: Oracle Database / Oracle Exadata
  • MySQL-python: MySQL
  • psycopg2: PostgreSQL, Amazon Redshift
  • pymssql: SQL Server

Installation

To install Hecatoncheir, clone the git repository and install it with the pip command as following.

git clone https://github.com/snaga/Hecatoncheir.git
cd Hecatoncheir
pip install -r requirements.txt
pip install .

Quick Start

Documentation

License

Apache License Version 2.0.

See the LICENSE file for more information.